Professorship for Information Systems, in particular Data Science

Organisational unit: Professoship

Organisation profile

The Business Informatics working group, in particular Data Science, headed by Prof Dr Burkhardt Funk, is dedicated to the development and application of data-driven methods for decision support in companies and public institutions.

Main research areas

The research focus lies on the use of data science and machine learning to analyse large amounts of data in order to optimise processes and decisions. A central topic is the development of intelligent systems that support decisions through data-based predictions. Fields of application include healthcare and various operational functions (e.g. marketing, accounting). We have developed approaches for predicting the effectiveness and personalisation of healthcare interventions, methods for extracting knowledge from documents (business documents, scientific papers) and for optimal budget allocation in marketing.

  1. Published

    Economic Evaluation of an Internet-Based Stress Management Intervention Alongside a Randomized Controlled Trial

    Kählke, F., Buntrock, C., Smit, F., Berking, M., Lehr, D., Heber, E., Funk, B., Riper, H. & Ebert, D. D., 15.05.2019, In: JMIR Mental Health. 6, 5, 13 p., e10866.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    Datenkompetenzen in Kooperationen fördern

    Funk, B. & Wuppermann, M., 01.2019, In: DUZ Wissenschaft & Management. 2, 1, p. 26-29 4 p.

    Research output: Journal contributionsJournal articlesTransferpeer-review

  3. Published

    Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics

    Lommel, L., Riebeling, M., Funk, B. & Junginger, C., 2019, Human Practice. Digital Ecologies. Our Future: 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Tagungsband . Ludwig, T. & Pipek, V. (eds.). Siegen: Universitätsverlag Siegen, p. 453-467 15 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  4. Published

    Possibilities to improve online mental health treatment: Recommendations for future research and developments

    Becker, D., 01.01.2019, Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 91-112 22 p. (Advances in Intelligent Systems and Computing; vol. 886).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Published

    A two-step approach for the prediction of mood levels based on diary data

    Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing AG, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  6. Published

    State-wide university implementation of an online platform for eating disorders screening and intervention.

    Fitzsimmons-Craft, E. E., Firebaugh, M.-L., Graham, A. K., Eichen M., D., Monterubio, G., Balantekin, K. N., Karam, A. M., Seal , A., Funk, B., Taylor, C. B. & Wilfley, D., 05.2019, In: Psychological Services. 16, 2, p. 239-249 11 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

    Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN

    Kortmann, F., Talits, K., Fassmeyer, P., Warnecke, A., Meier, N., Heger, J., Drews, P. & Funk, B., 10.12.2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020: Proceedings, Dec 10 - Dec 13, 2020 • Virtual Event. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 5563-5571 9 p. 9378245. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  9. Published

    Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor

    Kortmann, F., Rodeheger, M., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 01.11.2020, 2020 IEEE 92nd Vehicular Technology Conference: Proceedings. Canada: IEEE - Institute of Electrical and Electronics Engineers Inc., 6 p. 9348664. (IEEE Vehicular Technology Conference).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Published

    Live Demonstration: Passive Sensor Setup for Road Condition Monitoring

    Kortmann, F., Horstkotter, J., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 25.10.2020, 2020 IEEE SENSORS Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 1 p. 9278776. (IEEE Sensors Proceedings).

    Research output: Contributions to collected editions/worksPublished abstract in conference proceedingsResearchpeer-review

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